| Close | |
|---|---|
| Annualized Return | 0.0106 |
| Annualized Std Dev | 0.2069 |
| Annualized Sharpe (Rf=0%) | 0.0513 |
| Close | |
|---|---|
| Observations | 5588.0000 |
| NAs | 1.0000 |
| Minimum | -0.1463 |
| Quartile 1 | -0.0042 |
| Median | 0.0008 |
| Arithmetic Mean | 0.0001 |
| Geometric Mean | 0.0000 |
| Quartile 3 | 0.0057 |
| Maximum | 0.1309 |
| SE Mean | 0.0002 |
| LCL Mean (0.95) | -0.0002 |
| UCL Mean (0.95) | 0.0005 |
| Variance | 0.0002 |
| Stdev | 0.0130 |
| Skewness | -1.1433 |
| Kurtosis | 19.3720 |
| Close | |
|---|---|
| Semi Deviation | 0.0100 |
| Gain Deviation | 0.0087 |
| Loss Deviation | 0.0120 |
| Downside Deviation (MAR=210%) | 0.0143 |
| Downside Deviation (Rf=0%) | 0.0099 |
| Downside Deviation (0%) | 0.0099 |
| Maximum Drawdown | 0.7230 |
| Historical VaR (95%) | -0.0186 |
| Historical ES (95%) | -0.0338 |
| Modified VaR (95%) | -0.0201 |
| Modified ES (95%) | -0.0456 |
| From | Trough | To | Depth | Length | To Trough | Recovery |
|---|---|---|---|---|---|---|
| 2000-11-09 | 2009-03-09 | NA | -0.7230 | 5121 | 2091 | NA |
| 2000-03-24 | 2000-05-26 | 2000-08-28 | -0.1000 | 109 | 45 | 64 |
| 2000-01-20 | 2000-02-01 | 2000-03-21 | -0.0952 | 43 | 9 | 34 |
| 1999-11-10 | 1999-11-10 | 1999-12-28 | -0.0822 | 33 | 1 | 32 |
| 1999-08-26 | 1999-09-29 | 1999-11-03 | -0.0768 | 49 | 24 | 25 |
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Close | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1999 | 0.2 | -0.2 | -1 | 0 | 0.4 | 0.8 | -0.4 | 0.2 | 0 | 0.7 | 0 | 0.5 | 1.2 |
| 2000 | -0.3 | 0 | -1.4 | 0.5 | 0.5 | 0.3 | 0 | 0.3 | 0.8 | 1.4 | 0.7 | -1.7 | 0.9 |
| 2001 | -0.6 | 0.1 | 1.3 | 0.4 | 0 | -1.3 | 0.4 | 0.4 | 1.4 | 1.4 | 0.4 | 0.2 | 4.2 |
| 2002 | 0 | 1.4 | -0.6 | 0.2 | 0.7 | -1.6 | -3.1 | 1.3 | 2.4 | 1.3 | 0.1 | -0.1 | 1.9 |
| 2003 | 1.1 | -0.1 | 1 | -0.3 | 1.7 | -0.1 | -1.1 | 0.7 | 1.4 | 0 | 0.6 | 0.4 | 5.3 |
| 2004 | 0.4 | 1.4 | 0.7 | -0.7 | 0.3 | -0.6 | 0.6 | 0.6 | 1.7 | 0.1 | 0.9 | 0.1 | 5.4 |
| 2005 | 0.5 | 0.2 | -0.8 | 0.8 | 0.7 | 0.2 | 0.4 | 0.3 | 0.1 | 0 | 1.3 | -0.4 | 3.3 |
| 2006 | 0.6 | 1 | 0 | 0.1 | 0.8 | -0.1 | -0.6 | 0.7 | -0.2 | 0.9 | -0.5 | -0.1 | 2.5 |
| 2007 | 0.3 | -0.2 | -0.2 | -0.2 | 0.6 | -0.3 | 0 | 1.5 | 1.2 | -1.2 | 0.9 | 1.8 | 4.3 |
| 2008 | 1.8 | -2.2 | 3.6 | 1.3 | 0.3 | -0.3 | -0.1 | -1.3 | -1.1 | 1.3 | -3.4 | 2.1 | 1.8 |
| 2009 | -3.1 | -1.3 | 1.6 | 1.3 | 3.4 | 1 | 0.5 | -1.4 | -1.4 | -3.9 | 1.1 | -0.2 | -2.6 |
| 2010 | 1.6 | 1.1 | 0.5 | -1.1 | -0.8 | -0.6 | 0 | 3.1 | 0.3 | 0.2 | 1.9 | 0.1 | 6.5 |
| 2011 | 1.7 | -0.8 | 0.6 | 0.7 | -2.2 | 1.5 | 0.1 | -0.5 | -2.2 | -2.6 | 0.5 | -0.1 | -3.2 |
| 2012 | 1.8 | 0.5 | 0.7 | 0.2 | -2.6 | 2.4 | -0.4 | 0.3 | 0.6 | 1.6 | 0.4 | 1.5 | 7 |
| 2013 | 1.5 | 0.1 | 0 | -1.2 | -1.2 | -0.2 | 1 | -0.5 | 0.7 | -0.4 | 0.2 | -0.1 | 0 |
| 2014 | -0.3 | 0.5 | 0.5 | 0 | 0.4 | 1 | -0.4 | 0.1 | -1.5 | 0.9 | -1.4 | -0.7 | -0.9 |
| 2015 | -1.6 | 0.1 | -0.7 | 0.9 | 0.1 | 0.6 | 0.1 | -2.5 | 0.4 | -0.8 | 0.5 | -0.3 | -3.3 |
| 2016 | 0 | 2.1 | 0.3 | -0.5 | -0.3 | 0.9 | -0.4 | 0.1 | 0.6 | -0.3 | -0.1 | 0 | 2.3 |
| 2017 | 0.8 | 1 | 0.1 | 0.2 | 1 | 0.1 | 0.1 | 0.5 | 0.8 | 0.3 | -0.4 | 0.1 | 4.7 |
| 2018 | 0.2 | -1.2 | 1.6 | -0.9 | 1 | 0.3 | 0 | 0 | 0.4 | 1.2 | 1.2 | 1.2 | 4.9 |
| 2019 | 0.6 | 0.4 | 0.9 | -0.5 | -0.5 | 1 | -0.8 | 0.1 | -1 | 0.9 | 0.6 | -1.3 | 0.4 |
| 2020 | -1.2 | -3.8 | -4.8 | -2.7 | 0.8 | 0.6 | -0.1 | 0 | 1.2 | -1.5 | 1.6 | 0.1 | -9.5 |
| 2021 | 1.3 | 1.3 | 0.1 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2.7 |
# tidytable [6 × 21]
datadate Close tic.x spy ret.x ret_1W.x ret_1M.x ret_3M.x ret_1Y.x ret_3Y.x ret_5Y.x tic.y gld ret.y ret_1W.y
<date> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <dbl> <dbl>
1 1999-01-04 31 SPY 123. NA NA NA NA NA NA NA <NA> NA NA NA
2 1999-01-05 31.8 SPY 124. 0.0114 NA NA NA NA NA NA <NA> NA NA NA
3 1999-01-06 31.6 SPY 127. 0.0241 NA NA NA NA NA NA <NA> NA NA NA
4 1999-01-07 31.6 SPY 127. -0.0049 NA NA NA NA NA NA <NA> NA NA NA
5 1999-01-08 31.5 SPY 128. 0.0074 NA NA NA NA NA NA <NA> NA NA NA
6 1999-01-11 31.4 SPY 127. -0.0095 0.0284 NA NA NA NA NA <NA> NA NA NA
# … with 6 more variables: ret_1M.y <dbl>, ret_3M.y <dbl>, ret_1Y.y <dbl>, ret_3Y.y <dbl>, ret_5Y.y <dbl>, rel <dbl>